Research and Academic case studies

Research and Academic Webcast

 

Personalize your musculoskeletal models based on medical image data (Pavel Galibarov, AnyBody Technology, 20. April, 2016) Presentation (3MB), Playback (330MB), Demo files (21MB), YouTube, Musculoskeletal modeling provides a great value for a product design process by quantifying otherwise immeasurable human response, such as muscle, joint reaction forces, internal bone motion, etc., to physical activity, and environment, i.e. a product. This output can be used to improve a product targeting human performance or function by minimizing internal body load, fatigue, energy expenditure, and so on. However, typically such responses will be specific to a human subjected to a virtual experimentation process, e.g. a musculoskeletal model. And, thus, achieving a higher level of subject-specific precision will require incorporation of the subject-specificity into the virtual experimentation process. In this webcast AnyBody Technology will demonstrate and explain current procedures used to personalize a musculoskeletal model. Several different scenarios of model individualization will be covered such as: a) using a single bone geometry from a CT scan, b) using a partial bone, and c) using a combination of motion capture data and a geometry from a full-bone CT scan.

How to batch process your AnyBody models (Morten Enemark Lund, AnyBody technology, 24. November, 2016) Presentation (2MB), Playback (231MB), YouTube How can you automate your AnyBody simulation for batch processing? How do you integrate the results from AnyBody with other applications? In this webcast, we will introduce you to the AnyBody console application and its macro commands. You will learn how to use the Python programming language to batch process many models and plot the results easily. Finally, you will see a real world example of batch processing a musculoskeletal model on a Mocap dataset with hundreds of patients and thousands of trials collected as part of the LifeLongJoints Framework 7 EU project (http://lifelongjoints.eu). No experience with the Python programming language is required for attending the webcast. TLEMsafe: Personalization of musculoskeletal models and prediction of functional outcome (Vincenzo Carbone, University of Twente, 03. September, 2015) Presentation (8MB), Playback (60MB), YouTube Conducted from 2010 to 2014, TLEMsafe was a project funded by the European Union, with the aim of creating a patient-specific surgical navigation system for pre-operative planning and execution of complex musculoskeletal surgery. Having reached a successful conclusion, we hope that all these important results reached from TLEMsafe project could help the scientific community to continue developing and adopting personalized musculoskeletal models on large scale. Patient-specific

Musculoskeletal Modelling of Total Knee Arthroplasty using Force-dependent Kinematics (Michael Skipper Andersen, Aalborg University, 09. September, 2014)Presentation (2Mb), Playback (85Mb), YouTube. In this webcast Michael Skipper Andersen will present a patient specific model to predict knee contact forces for Total Knee Arthroplasty. The bone geometry of tibia, femur and patella was based on CT images to scale muscle attachments nodes nonlinearly. An optimisation procedure in AnyBody linearly scaled the remaining model segments based on surface marker locations. A detailed tibiofemoral and patellofemoral joint model, including contact and ligaments, allowed estimation of both muscle, ligament and contact forces, and knee joint kinematics using Force-dependent Kinematics (FDK). By employing quasi-static force-equilibrium, FDK extends inverse dynamics to allow computation of small movements stabilized by soft tissue within joints. In this study, FDK was employed to compute all tibiofemoral and patellofemoral movements except knee flexion/extension, which was prescribed. The muscle strengths were systematically reduced for both knee flexors and extensors as reported for total knee arthroplasty patients, and a strong dependence of the knee contact forces on this strength was observed. The predicted tibio-femoral contact forces showed a very good correlation to the in-vivo measured data. Medial and lateral forced matched for standard gait and a measured right turn.

 

 

Research and Academic articles

 

Arshad, R., Zander, T., Dreischarf, M. & Schmidt, H. (2016), "Influence of lumbar spine rhythms and intra-abdominal pressure on spinal loads and trunk muscle forces during upper body inclination", Medical Engineering and Physics, vol. 38 (4), pp. 333–338. [DOI]

Carbone, V. (2016), "Subject-specific lower extremity modeling. Personalization of musculoskeletal models using medical imaging and functional measurements", Ph.D. Thesis, University of Twente, Enschede, Netherlands. [PDFDOIWWW]

Duprey, S., Savonnet, L., Black, N. & Wang, X. (2015), "Muscle force prediction: can we rely on musculoskeletal model estimations? A case study on push force exertions with the upper limb", Computer Methods in Biomechanics and Biomedical Engineering. [DOI]

Al-Munajjed, A.A., Bischoff, J.E., Dharia, M.A., Telfer, S., Woodburn, J. & Carbe, S. (2016), "Metatarsal loading during gait - a musculoskeletal analysis", J Biomech Eng, vol. 138 (3). [DOI]

Chen, Z., Zhang, Z., Wang, L., Li, D., Zhang, Y. & Jin, Z. (2016), "Evaluation of a subject-specific musculoskeletal modelling framework for load prediction in total knee arthroplasty", Medical Engineering and Physics, pp. S1350-4533(16)30066-2. [DOI]

Eschweiler, J., Stromps, J.-P., Fischer, M., Schick, F., Rath, B., Pallua, N. & Radermacher, K. (2016), "Development of a biomechanical model of the wrist joint for patient-specific model guided surgical therapy planning: Part 1", J Engineering in Medicine, vol. 230 (4), pp. 310–325. [DOI]

Jung, Y., Phan, C.-B. & Koo, S. (2016), "Intra-articular Knee Contact Force Estimation during Walking using Force-reaction Elements and Subject-specific Joint Model", Journal of Biomechanical Engineering, vol. 138 (2). [DOI]

Sins, L., Tétreault, P., Nuño, N. & Hagemeister, N. (2016), "Effects of prosthetic mismatch and subscapularis tear on glenohumeral contact patterns in total shoulder arthroplasty: a numerical musculoskeletal analysis", Journal of Biomechanical Engineering. [DOI]

Marra, M., Vanheule, V., Fluit, R., Koopman, B.H., Rasmussen, J., Verdonschot, N. & Andersen, M.S. (2015), "A subject-specific musculoskeletal modeling framework to predict in vivo mechanics of total knee arthroplasty", Journal of Biomechanical Engineering, vol. 137. [DOI]

 

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